Decoding_BrainQ's profile picture. A Researcher Working on Computational Neuroscience; Information Theory; Nonlinear Dynamic; Math; Brain

Qiang Li |Qi.A.Li

@Decoding_BrainQ

A Researcher Working on Computational Neuroscience; Information Theory; Nonlinear Dynamic; Math; Brain

Qiang Li |Qi.A.Li さんがリポスト

Just over two weeks left to submit to our "𝐍𝐞𝐮𝐫𝐨 𝐟𝐨𝐫 𝐀𝐈 & 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐨" workshop at AAAI 2026 in Singapore! The deadline is October 30, 2025. 🔗 Submission Link: openreview.net/group?id=AAAI.… 🌐 Workshop Website: neuroai-multimodal-workshop.github.io

The full list of speakers for our "𝐍𝐞𝐮𝐫𝐨 𝐟𝐨𝐫 𝐀𝐈 & 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐨" Workshop at AAAI2026 is out! See the image here and neuroai-multimodal-workshop.github.io 🗓️: Jan 27, 2026 🧭: Singapore Submissions of papers and abstract by 10/30/2025: openreview.net/group?id=AAAI.… #NeuroAI

AntonSArkhipov's tweet image. The full list of speakers for our "𝐍𝐞𝐮𝐫𝐨 𝐟𝐨𝐫 𝐀𝐈 & 𝐀𝐈 𝐟𝐨𝐫 𝐍𝐞𝐮𝐫𝐨" Workshop at AAAI2026 is out!

See the image here and neuroai-multimodal-workshop.github.io

🗓️: Jan 27, 2026

🧭: Singapore

Submissions of papers and abstract by 10/30/2025: openreview.net/group?id=AAAI.…

#NeuroAI


Qiang Li |Qi.A.Li さんがリポスト

Amazing paper. All the good stuff: brain dynamics, state trajectories, embedding, links to arousal, tracking full dynamic state with a single measurement. nature.com/articles/s4158…


Qiang Li |Qi.A.Li さんがリポスト

I still get chills Meet Mike *30+ years severe depression *first hospitalized @ 13y *20 meds *3 rounds of ECT *2 near-fatal suicide attempts Mike felt joy for the first time in decades after we turned on his new brain pacemaker or PACE see paper, thread doi.org/10.31234/osf.i…


Qiang Li |Qi.A.Li さんがリポスト

Integrating and interpreting brain maps cell.com/trends/neurosc…

JamieLarsH's tweet image. Integrating and interpreting brain maps cell.com/trends/neurosc…
JamieLarsH's tweet image. Integrating and interpreting brain maps cell.com/trends/neurosc…
JamieLarsH's tweet image. Integrating and interpreting brain maps cell.com/trends/neurosc…

Qiang Li |Qi.A.Li さんがリポスト

We're excited to announce the Brain-to-Text '25 competition, with a new intracortical speech neuroscience dataset and $9,000 in prizes generously provided by @BlackrockNeuro_!. Can you do better than us at decoding speech-related neural activity into text? kaggle.com/competitions/b…


Qiang Li |Qi.A.Li さんがリポスト

📢 Call for Papers: NeurReps 2025 ‼️‼️‼️ 🧠 Submit your research on symmetry, geometry, and topology in artificial and biological neural networks. Two tracks: Proceedings (9 pages) and Extended Abstract (4 pages). Deadline: Aug 22, 2025. neurreps.org/call-for-papers


Qiang Li |Qi.A.Li さんがリポスト

Ready to explore? Start here to learn more, request access, or browse the data: docs.hbcdstudy.org nbdc-datahub.org #HBCDStudy #Neurodevelopment #OpenScience #NIH #BigData #ChildHealth #EarlyLife Thanks for all the support to make this happen @UMN_MIDB


Qiang Li |Qi.A.Li さんがリポスト

Poor sleep is associated with brain shrinkage

NTFabiano's tweet image. Poor sleep is associated with brain shrinkage

Qiang Li |Qi.A.Li さんがリポスト

Linking Brain Entropy to Molecular and Cellular Architecture in Psychosis biorxiv.org/content/10.110… #biorxiv_neursci


Qiang Li |Qi.A.Li さんがリポスト

Dive deeper into our findings here: [arxiv.org/abs/2504.05253]


Qiang Li |Qi.A.Li さんがリポスト

And if you’re curious at all about what thought went into this series of videos (and why I call it data-driven motion design and not just 3D animation like a normal person), I’ve described the creative process here: sloant.substack.com/p/behind-the-s…


Qiang Li |Qi.A.Li さんがリポスト

“When I draw a molecule in China or in Argentina, it is the same molecule. People understand immediately without knowing Spanish or Chinese. That is beautiful. Our common goal is not about power or borders of the country, it is about bringing forward human knowledge.” - Ben…

NobelPrize's tweet image. “When I draw a molecule in China or in Argentina, it is the same molecule. People understand immediately without knowing Spanish or Chinese. That is beautiful. Our common goal is not about power or borders of the country, it is about bringing forward human knowledge.”

 - Ben…

Quiet interesting research

I injected the horse tranquilizer Ketamine and tracked my brain data for 15 days. It completely scrambled my brain. In a world-first we answered the question ‘what happens to the brain before, during, and after ketamine treatment?’ We also discovered how long it took for my…



Qiang Li |Qi.A.Li さんがリポスト

Very pleased to announce the release of the NYU fastMRI breast dataset, which includes k-space data and reconstructions for 300 ultrafast breast MRIs with radial acquisition, including case labels. We hope to see what you can build with it.


Qiang Li |Qi.A.Li さんがリポスト

The highest-resolution MRI scan of a human brain ever, capturing details as small as 100-microns, achieved with a 7-tesla magnet and custom software by researchers at Massachusetts General Hospital.


Qiang Li |Qi.A.Li さんがリポスト

A well-executed network energy analysis on the ABCD project with interesting results!

Altered Functional Network Energy Across Multiscale Brain Networks in Preterm vs. Full-Term Subjects: Insights from the Adolescent ... biorxiv.org/content/10.110… #biorxiv_neursci



A new insight into understanding ASD.

Children with autism have hyperconnected brains. 🧵1/9

NTFabiano's tweet image. Children with autism have hyperconnected brains.

🧵1/9


Qiang Li |Qi.A.Li さんがリポスト

Happy to have this published ...finally. Have a look if you are interested in understanding cortical columns, microcircuits, and the thalamus. Stay tuned for threads unpacking the paper... @lazarox8 @antoine_dedieu @jl_marino @ScienceAdvances science.org/doi/10.1126/sc…


Qiang Li |Qi.A.Li さんがリポスト

In this lecture, I talk about the "curious" observation in vision that, if you "pay" upfront (in the No Free Lunch sense) with a hierarchical CNN inductive bias, you get back strong neural predictions of the intermediate layers, solely through task-optimization at the top layer.

aran_nayebi's tweet image. In this lecture, I talk about the "curious" observation in vision that, if you "pay" upfront (in the No Free Lunch sense) with a hierarchical CNN inductive bias, you get back strong neural predictions of the intermediate layers, solely through task-optimization at the top layer.

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